Engineering Manager, AI/ML Training Infra
AI summary of the role
Lead and manage a team of software engineers building critical scheduling infrastructure for AI training and inference across Alphabet, supporting internal customers like DeepMind, Search, YouTube, Ads, and Waymo.
What you’ll do
- Lead and manage a high-performing team of SWEs focused on scheduling features for training and inference across Alphabet.
- Support key internal customers including DeepMind, Google Search, YouTube, Ads, and Waymo.
- Partner with leadership and engineering teams across Compute infrastructure, SRE, Scheduling, XManager, and Uniserve to drive aligned technical roadmaps.
- Shape the technical direction for next-generation scheduling infrastructure, balancing long-term architectural health with immediate business delivery needs.
What you’ll bring
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing ML infrastructure.
- 5 years of experience with speech/audio, reinforcement learning, or another ML field.
Technologies
ML infrastructure · model deployment · model evaluation · data processing · debugging · fine tuning · speech/audio · reinforcement learning · distributed systems · scheduling
About Google
Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.
Public
Source and classification
Deployment team leadership · Evidence for this classification:
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will lead and manage a high-performing team of Software Engineers (SWEs) focused on the design, implementation, and launch of critical scheduling features supporting training and inference across Alphabet. You will support key internal customers and products including DeepMind (DM), Google Search, YouTube, Ads, and Waymo while partnering closely with leadership and engineering teams across Compute infrastructure, SRE, Scheduling, XManager, Uniserve, and other key infrastructure stakeholders to drive aligned technical roadmaps. Additionally, you will shape the technical direction for next-generation scheduling infrastructure, balancing long-term architectural
More from the job description
About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. In this role, you will lead and manage a high-performing team of Software Engineers (SWEs) focused on the design, implementation, and launch of critical scheduling features supporting training and inference across Alphabet. You will support key internal customers and products including [... source excerpt omitted ...] engineering teams across Compute infrastructure, SRE, Scheduling, XManager, Uniserve, and other key infrastructure stakeholders to drive aligned technical roadmaps. Additionally, you will shape the technical direction for next-generation scheduling infrastructure, balancing long-term architectural health with immediate business delivery needs. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the dr [... source excerpt omitted ...] ding job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the mid-term technical vision and roadmap within the scope of your often multiple teams. Evolve the roadmap to meet
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